Flood Risk Assessment Based on a Cloud Model in Sichuan Province, China

Author:

Liu Jian12ORCID,Wang Kangjie12,Lv Shan12,Fan Xiangtao12,He Haixia3

Affiliation:

1. Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100094, China

2. International Research Center of Big Data for Sustainable Development Goals, Beijing 100094, China

3. National Disaster Reduction Center, Ministry of Emergency Management, Beijing 100124, China

Abstract

Floods are serious threats to the safety of people’s lives and property. This paper systematically introduces the basic theories and methods of flood risk assessment, takes Sichuan Province as the study area, and establishes a flood risk assessment index system with 14 indicators in four aspects—disaster-causing factors, disaster-forming environment, disaster-bearing body, and regional disaster resilience capacity—from the causes of disaster losses and flood formation mechanisms. Furthermore, this paper constructs a flood disaster risk assessment model for Sichuan Province based on a cloud model, entropy value, and GIS technology. The model is validated by taking the July–August 2023 flood disaster as an example, and the results show that the distribution of the disaster was consistent with the flood risk assessment results of this paper, which verifies that the selected indicators are appropriate and the model is accurate and valid.

Funder

National Key R&D Program of China

Publisher

MDPI AG

Subject

Management, Monitoring, Policy and Law,Renewable Energy, Sustainability and the Environment,Geography, Planning and Development,Building and Construction

Reference38 articles.

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2. IPCC (2014). Climate Change 2014: Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects, Cambridge University Press. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.

3. Early warning systems in the context of disaster risk management;Bogardi;Entwickl. Ländlichen Raums,2006

4. Crichton, D., and Mounsey, C. (1997, January 2–4). How the Insurance Industry will use its flood research. Proceedings of the Third MAFF Conference of Coastal and River Engineers, Keele, UK.

5. United Nations Office for Disaster Risk Reduction (UNDRR) (2023, August 26). Disaster risk Assessment. Available online: https://www.undrr.org/terminology/disaster-risk-assessment.

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